Automatic Refactoring and Unionization of Medical Documents in Everyday Language

Abstract

This research presents an apparatus designed for automatically refactoring and unionizing medical records composed in everyday language. The apparatus utilizes an electric case history system commonly employed in Chinese hospitals. It includes a Chinese medical standard word library categorized by disease type, a everyday language analysis-based data pick-up system to convert documents into standardized formats, a disease-classified database for clinical research, a document conversion system for automatic refactoring, and a privilege system to protect patient and doctor privacy